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Knowledge growth is currently experiencing a very exponential increase, through a digital transformation of knowledge in the organization and the emergence of various platforms through management system content such as blogs and social media that have encouraged such growth. An employee no longer only interacts in knowledge management (KM) in his organization but can communicate and collaborate to share knowledge through these platforms widely. Much of the spread of knowledge is a challenge for organizations to manage and use their knowledge and spread knowledge and become part of the expertise possessed by employees in their organizations. For this reason, an intelligent knowledge mapping approach is needed to facilitate finding, managing and identifying knowledge owned by an organization. This paper aims to see the use of smart knowledge mapping in organizations empirically.

This research was conducted empirically by conducting a literature study method to compile a questionnaire and conduct a survey through purposive sampling, sampling taken from the KM and Society Indonesia community. This survey limits only to respondents who have experience in conducting knowledge mapping in an organization.

The use of data sources that have been owned by the organization and also the consideration of the use of digital footprint employees spread across the internet can be a potential to explore the knowledge resources possessed by the organization. Of course, with the support of technology through the use of artificial intelligence (AI), it is expected to be able to present a comprehensive, adaptive and objective knowledge mapping for the organization.

The paper provides practical implications for knowledge mapping implementation in an organization by adopting AI with considerable digital footprint employees spread across the internet.

This paper provides empirical information about knowledge mapping implementation in Indonesian organization.

Fish quarantine is a measure to prevent the entry and spread of quarantine fish pests and diseases abroad and from one area to another within Indonesia's territory. Based on these backgrounds, this study aims to identify the knowledge, knowledge management (KM) processes and knowledge management system (KMS) priority needs for quarantine fish and other fishery products measures (QMFFP) and then develop a classification model and web-based decision support system (DSS) for QMFFP decisions.

This research methodology uses combination approaches, namely, contingency factor analysis (CFA), the cross-industry standard process for data mining (CRISP-DM) and knowledge management system development life cycle (KMSDLC). The CFA for KM solution design is performed by identifying KM processes and KMS priorities. The CRISP-DM for decision classification model is done by using a decision tree algorithm. The KMSDLC is used to develop a web-based DSS.

The highest priority requirements of KM technology for QMFFP are data mining and DSS with predictive features. The main finding of this study is to show that web-based DSS (functions and outputs) can support and accelerate QMFFP decisions by regulations and field practice needs. The DSS was developed using the CTree algorithm model, which has six main attributes and eight rules.

This study proposes a novel comprehensive framework for developing DSS (combination of CFA, CRISP-DM and KMSDLC), a novel classification model resulting from comparing two decision tree algorithms and a novel web-based DSS for QMFFP.

This study proposes to adopt joint application design (JAD) in the requirement gathering process on developing a knowledge management system (KMS) using Fernandez methodology. It is proposed that Fernandez methodology produces only a list of KMS features and the requirement of the feature is still unclear. This study aims to produce KMS that meets the needs and expectations of users based on features of Fernandez's methodology.

This study was conducted using a combination methodology that combines Fernandez methodology to identify the feature needs of the organization and JAD to identify user requirements of KMS. The system prototype is evaluated by measuring user satisfaction using the Post Study System Usability Questionnaire.

The results of this study indicate that with the adoption of JAD it is possible to get the requirement in accordance with the expectations of the user. In addition, this study also shows that the level of user satisfaction with the prototype developed with the requirement is high at 84% of the maximum score.

This study was used only in the education context, especially teaching assistant problems at the Faculty of Computer Science, University of Indonesia. For this reason, further research is needed for different contexts so that the implementation of this combination of methods can be generalized more broadly.

This paper provides practical implications for the development of KMS by identifying user requirements using JAD.

This paper provides a combination method to generate KMS that meets user requirements.

This paper aims to recommend implementation of the knowledge management (KM) strategy for a mental health organisation, an area that has, to date, limited attention in literature based on the factors that influence KM success.

A mixed-methods research was conducted to identify the organisational culture, resources, enablers and the influential factors of mental health knowledge management (MHKM). The data were collected in five referral mental hospitals and were analysed using quantitative, qualitative and triangulation methods.

The organisational culture has become a great barrier. Forty-three influential factors were identified. Otherwise, based on culture, resources, enablers and strengthen, weakness, opportunities and threaten (SWOT) analysed were adopted to propose ten of the critical success factors and were recommended into an implementation strategy.

The paper has proven that KM is a new and emerging discipline in Indonesia, especially on mental health care. This will contribute to the governmental policy of KM implementation and enforce the quality of services.

This result has the potential to leverage interdisciplinary KM research. It supports a mental health organisation in applying KM.

This study is probably the first to analyse factors that are of influence in an MHKM initiative programme.